Through Tired Eyes:
Exploring AR as a Lens for Eye Fatigue Detection
 

References

1. Ryu H, Ju U and Wallraven C (2024) Decoding visual fatigue in a visual search task selectively manipulated via myopia-correcting lenses. Front. Neurosci. 18:1307688. doi: 10.3389/fnins.2024.1307688

2. Zargari Marandi, R., Madeleine, P., Omland, Ø. et al. Eye movement characteristics reflected fatigue development in both young and elderly individuals. Sci Rep 8, 13148 (2018).https://doi.org/10.1038/s41598-018-31577-1

3. Sun, W., Wang, Y., Hu, B., & Wang, Q. (2024). Exploration of Eye Fatigue Detection Features and Algorithm Based on Eye-Tracking Signal. Electronics, 13(10), 1798. https://doi.org/10.3390/electronics13101798

4. ​​D'Amico, Nathan, "Assessment of Anti-Saccades Within 24 to 48 Hours Post-Concussion" (2016). Electronic Theses and Dissertations. 1459. https://digitalcommons.georgiasouthern.edu/etd/1459